Key result
During a motor task, highly significant negative correlations were found between oxyhemoglobin concentration and alpha (r2 = -0.69) and beta (r2 = -0.54) EEG rhythms.
Observational (n=10)
No
The study demonstrates a significant correlation between EEG desynchronization in alpha and beta bands and hemodynamic changes (increased HbO, decreased HbR) in the contralateral sensorimotor cortex during motor tasks.
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Hypothesis-generating for EEG-fNIRS coupling in motor tasks; leaves open translation to cardiovascular populations.
A relationship between the brain rhythmic activity and the hemodynamic response was studied using the simultaneous measurement of electroencephalogram (EEG) and the functional near-infrared spectroscopy (fNIRS) during a motor task (self-paced right finger movements) for 10 subjects. An EEG recording with a 32-electrode (10-10) system was made and the hemodynamic response was obtained using 8 optodes placed over the sensorimotor cortex on both hemispheres. During the task an increase in oxyhemoglobine (HbO) was accompanied by a decrease in deoxyhemoglobine (HbR) concentration and a decrease in amplitudes (desynchronisation) of alpha (8–13 Hz) and beta (13–30 Hz) EEG rhythms. These phenomena were prominent in the hemisphere contralateral to the moving finger. The delays between the hemodynamic and electrophysiological variables were on average 2.8 s. Highly significant (p < 0.0001) negative Pearson correlations were found between HbO and alpha (r 2 = −0.69) and HbO and beta (r 2 = −0.54) rhythms. Positive correlations r 2 = 0.5 between these rhythms and HbR were found.
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Lachert et al. (2017) conducted an observational in Healthy volunteers (n=10). Motor task (self-paced right finger movements) vs. Rest period was evaluated on Pearson correlation between oxyhemoglobin (HbO) concentration and alpha EEG rhythm amplitude (r2 = -0.69, p=<0.0001). During a motor task, highly significant negative correlations were found between oxyhemoglobin concentration and alpha (r2 = -0.69) and beta (r2 = -0.54) EEG rhythms.
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